Shiwani K. Arora

2.5k citations
20 papers · 1.9k indexed · h-index 20

Shiwani K. Arora

20 papers receiving 1.9k citations

Peers

Shiwani K. Arora
Comparison fields: 5 of 93
  • Endocrinology 404
  • Molecular Medicine 361
  • Genetics 717
  • Molecular Biology 1.4k
  • Microbiology 98
Replace Sachiko Miyata with:
Sachiko Miyata United States
Daniel G. Lee United States
Phoebe Lostroh United States
Bridget R. Kulasekara United States
Karin Heurlier United Kingdom
Emily J. Stevens United Kingdom
Maryline Foglino France
J C Boucher United States
Chantal Soscia France
Laura J. Runyen-Janecky United States
Shiwani K. Arora relative to Sachiko Miyata United States Sachiko Miyata's profile →
Citations per field
00.5×1.5×
Sachiko Miyata · 1×
Citations per year

Countries citing papers authored by Shiwani K. Arora

Since Specialization
Citations

This map shows the geographic impact of Shiwani K. Arora's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Shiwani K. Arora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shiwani K. Arora more than expected).

Fields of papers citing papers by Shiwani K. Arora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shiwani K. Arora. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Shiwani K. Arora. The network helps show where Shiwani K. Arora may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Shiwani K. Arora, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shiwani K. Arora Line = papers co-authored together Shiwani K. Arora links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 200658
2 200590
3 2005140
4 200443
5 2004101
6 200489
7 2003354
8 200250
9 200141
10 200175
11 200171
12 2001116
13 2000132
14 200034
15 1998188
16 1997165
17 199628
18 199660
19 199637
20 199172

About Shiwani K. Arora

Shiwani K. Arora is a scholar working on Genetics, Molecular Medicine and Endocrinology, having authored 20 papers that have together received 1.9k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (18 papers), Bacterial biofilms and quorum sensing (13 papers), Bacteriophages and microbial interactions (4 papers), Vibrio bacteria research studies (3 papers), Cystic Fibrosis Research Advances (3 papers), Antibiotic Resistance in Bacteria (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Lipid Membrane Structure and Behavior (2 papers). The work is most often cited by research in Endocrinology (404 citations), Molecular Medicine (361 citations) and Genetics (717 citations). Shiwani K. Arora has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Reuben Ramphal, Stephen Lory, Nandini Dasgupta, Bruce W. Ritchings, E C Almira, Jeevan Jyot, Matthew C. Wolfgang, Andrew L. Goodman, Amrisha Verma and Paul V. Phibbs. Their work appears in journals such as Journal of Bacteriology, Infection and Immunity, Molecular Microbiology, Proceedings of the National Academy of Sciences and American Journal of Respiratory and Critical Care Medicine.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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